A deep dive into why software products are using Discord for support, hiding valuable Q&A from search engines and LLMs. The discussion explores the trade-offs between convenience, user experience, and the surprising motive of avoiding data scraping.
Exploring whether Google uses Google Docs content to train AI like Gemini, with insights on official statements, terms of service, and practical data protection tips.
Exploring methods and community perspectives on how to contact users about old online posts when direct replies are disabled, including workarounds and the debate around direct messaging.
Discover various parental control methods discussed by parents, including DNS filtering (Cloudflare, NextDNS), PiHole, Apple MDM, and crucial warnings about certain tools and kids' ingenuity.
Exploring the real-world viability of synthetic data for LLMs, with insights on fine-tuning smaller models, tackling latency, and resources for practical application.
Hacker News users discuss why they choose local NAS over cloud storage, detailing preferred use cases, hardware specs like silent operation and 10Gbps networking, and pain points like remote access security.
Arc browser users are seeking new options after its discontinuation. Discover top recommendations like Firefox, Zen, and Brave, along with user experiences and important considerations.
Discussion on the feasibility of a national 'do not email' list to combat point-of-sale marketing spam, exploring potential pitfalls like misuse by scammers and alternative solutions like stricter regulations or better spam filters.
A Hacker News discussion reveals deep user skepticism about LLM data privacy, highlighting fears of data exploitation, leaks, and manipulation. Users question trust in major providers and seek solutions for safer AI interactions.
Discover the active research areas and real-world applications where traditional machine learning and statistics continue to flourish, offering unique solutions alongside the rise of Large Language Models.